facecrop-thumb


Namefacecrop-thumb JSON
Version 1.0.6 PyPI version JSON
download
home_pagehttps://facecrop-thumb.readthedocs.io/en/stable/
SummaryGenerate thumbnails of detected faces in images using Python.
upload_time2024-04-15 06:26:03
maintainerNone
docs_urlNone
authorVaibhav Shukla
requires_pythonNone
licenseMIT
keywords face detection thumbnail image-processing
VCS
bugtrack_url
requirements twine sphinx
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # FaceCropThumb

FaceCropThumb is a Python package for generating thumbnails of detected faces in images. It utilizes the MTCNN (Multi-Task Cascaded Convolutional Neural Network) for accurate face detection and OpenCV for image processing.

All documentation is in the “docs” directory and online at https://facecrop-thumb.readthedocs.io/en/stable/. If you’re just getting started, here’s how we recommend you read the docs:

## Features

- Detect faces in images using the MTCNN model
- Crop detected faces with a configurable margin
- Generate square thumbnails of detected faces
- Option to resize the entire image if no face is detected or face detection is skipped
- Command-line utility for easy usage

## Quick Installation

You can install FaceCropThumb via pip:

```pip install facecropthumb```

## Quick Usage

```facecropthumb <image_path> [-d/--dir <output_directory>] [-m/--margin <margin_size>] [-F/--no-face] [-S/--skip-face] [-a/--all]```

- `<image_path>`: Path to the input image file.
- `-d/--dir <output_directory>`: Directory to store the output thumbnail. Default is the current directory.
- `-m/--margin <margin_size>`: Margin around the detected face. Default is 50 pixels.
- `-F/--no-face`: Skip face detection and resize the whole image if no face is detected.
- `-S/--skip-face`: Skip face detection and resize the whole image.
-  `-a/--all`: Process all images in the specified directory. If no directory is provided, it processes images in the current directory.
-  `-v/--version`: Show installed version.
-  `-h/--help`: Show help.

Example:

```facecropthumb input_image.jpg -d output_directory -m 30 -F```

This command will generate a thumbnail of the detected face in `input_image.jpg`, with a margin of 30 pixels, and if no face is detected, it will resize the whole image to a square of 74 x Y pixels (~approx).

## Development Documentation

DISCLAIMER: This documentation is for the contributers of FaceCropThumb, not for general package users.

Firstly install dev dependencies from `requirements.txt` file

### Usage

To run and test the package, use `python -m facecrop-thumb <args>`

### Build Docs

You can see the production build docs in `docs/build/index.html`

Update the documentation at any cost after any change in feature

Run this to watch the `docs/` folder while you're making documentation changes

`watchmedo shell-command --patterns="*.rst;conf.py;_templates/*" --recursive --command='sphinx-build -b html docs docs/_build' docs`

### Release

After a successful change in the package, it's time to publish it officially.

 - Update the version in `facecrop_thumb/version.py`

 - Create a new release on [release page](https://github.com/mr-vaibh/facecrop-thumb/releases/new). (This will automatically trigger GitHub actions to release a new version on PYPI)

That's it, the newer version will be available to everyone.

But if you want to publish a version by yourself, you can use following command:

 - `python setup.py sdist`

 - ` twine upload dist/*`

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

            

Raw data

            {
    "_id": null,
    "home_page": "https://facecrop-thumb.readthedocs.io/en/stable/",
    "name": "facecrop-thumb",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "face detection thumbnail image-processing",
    "author": "Vaibhav Shukla",
    "author_email": "shuklavaibhav336@example.com",
    "download_url": "https://files.pythonhosted.org/packages/17/5b/3129ad4f149741920fe8a8b8e2995fcb103ad5160ace3b84fb29f4b5d1c2/facecrop-thumb-1.0.6.tar.gz",
    "platform": null,
    "description": "# FaceCropThumb\r\n\r\nFaceCropThumb is a Python package for generating thumbnails of detected faces in images. It utilizes the MTCNN (Multi-Task Cascaded Convolutional Neural Network) for accurate face detection and OpenCV for image processing.\r\n\r\nAll documentation is in the \u201cdocs\u201d directory and online at https://facecrop-thumb.readthedocs.io/en/stable/. If you\u2019re just getting started, here\u2019s how we recommend you read the docs:\r\n\r\n## Features\r\n\r\n- Detect faces in images using the MTCNN model\r\n- Crop detected faces with a configurable margin\r\n- Generate square thumbnails of detected faces\r\n- Option to resize the entire image if no face is detected or face detection is skipped\r\n- Command-line utility for easy usage\r\n\r\n## Quick Installation\r\n\r\nYou can install FaceCropThumb via pip:\r\n\r\n```pip install facecropthumb```\r\n\r\n## Quick Usage\r\n\r\n```facecropthumb <image_path> [-d/--dir <output_directory>] [-m/--margin <margin_size>] [-F/--no-face] [-S/--skip-face] [-a/--all]```\r\n\r\n- `<image_path>`: Path to the input image file.\r\n- `-d/--dir <output_directory>`: Directory to store the output thumbnail. Default is the current directory.\r\n- `-m/--margin <margin_size>`: Margin around the detected face. Default is 50 pixels.\r\n- `-F/--no-face`: Skip face detection and resize the whole image if no face is detected.\r\n- `-S/--skip-face`: Skip face detection and resize the whole image.\r\n-  `-a/--all`: Process all images in the specified directory. If no directory is provided, it processes images in the current directory.\r\n-  `-v/--version`: Show installed version.\r\n-  `-h/--help`: Show help.\r\n\r\nExample:\r\n\r\n```facecropthumb input_image.jpg -d output_directory -m 30 -F```\r\n\r\nThis command will generate a thumbnail of the detected face in `input_image.jpg`, with a margin of 30 pixels, and if no face is detected, it will resize the whole image to a square of 74 x Y pixels (~approx).\r\n\r\n## Development Documentation\r\n\r\nDISCLAIMER: This documentation is for the contributers of FaceCropThumb, not for general package users.\r\n\r\nFirstly install dev dependencies from `requirements.txt` file\r\n\r\n### Usage\r\n\r\nTo run and test the package, use `python -m facecrop-thumb <args>`\r\n\r\n### Build Docs\r\n\r\nYou can see the production build docs in `docs/build/index.html`\r\n\r\nUpdate the documentation at any cost after any change in feature\r\n\r\nRun this to watch the `docs/` folder while you're making documentation changes\r\n\r\n`watchmedo shell-command --patterns=\"*.rst;conf.py;_templates/*\" --recursive --command='sphinx-build -b html docs docs/_build' docs`\r\n\r\n### Release\r\n\r\nAfter a successful change in the package, it's time to publish it officially.\r\n\r\n - Update the version in `facecrop_thumb/version.py`\r\n\r\n - Create a new release on [release page](https://github.com/mr-vaibh/facecrop-thumb/releases/new). (This will automatically trigger GitHub actions to release a new version on PYPI)\r\n\r\nThat's it, the newer version will be available to everyone.\r\n\r\nBut if you want to publish a version by yourself, you can use following command:\r\n\r\n - `python setup.py sdist`\r\n\r\n - ` twine upload dist/*`\r\n\r\n## License\r\n\r\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\r\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Generate thumbnails of detected faces in images using Python.",
    "version": "1.0.6",
    "project_urls": {
        "Documentation": "https://facecrop-thumb.readthedocs.io/en/stable/",
        "Funding": "https://www.buymeacoffee.com/mrvaibh",
        "Homepage": "https://facecrop-thumb.readthedocs.io/en/stable/",
        "Release Notes": "https://github.com/mr-vaibh/facecrop-thumb/releases",
        "Source": "https://github.com/mr-vaibh/facecrop-thumb",
        "Tracker": "https://github.com/mr-vaibh/facecrop-thumb/issues"
    },
    "split_keywords": [
        "face",
        "detection",
        "thumbnail",
        "image-processing"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "175b3129ad4f149741920fe8a8b8e2995fcb103ad5160ace3b84fb29f4b5d1c2",
                "md5": "4878d42ed98e4b219f93b8c496ceb8ac",
                "sha256": "92b90ece45838a37329b453661e903650538070a1b196682e45ab2f830b68ee3"
            },
            "downloads": -1,
            "filename": "facecrop-thumb-1.0.6.tar.gz",
            "has_sig": false,
            "md5_digest": "4878d42ed98e4b219f93b8c496ceb8ac",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 5551,
            "upload_time": "2024-04-15T06:26:03",
            "upload_time_iso_8601": "2024-04-15T06:26:03.209681Z",
            "url": "https://files.pythonhosted.org/packages/17/5b/3129ad4f149741920fe8a8b8e2995fcb103ad5160ace3b84fb29f4b5d1c2/facecrop-thumb-1.0.6.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-15 06:26:03",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "mr-vaibh",
    "github_project": "facecrop-thumb",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [
        {
            "name": "twine",
            "specs": []
        },
        {
            "name": "sphinx",
            "specs": []
        }
    ],
    "lcname": "facecrop-thumb"
}
        
Elapsed time: 1.06384s